JP2003143959A - System for providing growth information of farm product in field - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a system capable of receiving information on farm products obtained by utilizing aerial photo images or space satellite images and processing these image whenever farmers need the information. SOLUTION: This system for providing the growth information comprises a field image database for storing field images pictured by the aerial photo or space satellite, a field information database for storing field information every parcel of land which a farmer possesses and a data processing server for carrying out arithmetic processing of growth condition data or disease injury condition data. The growth conditions are caught by the image processing and are stored in the growth condition database and image processing for disease injuries is carried out by image processing and the resultant data are stored in the disease injury information database. The data of growth conditions or disease injury information database are provided by request of these farmers.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention provides growth information for grasping the growth status of agricultural products in agriculture by using aerial photograph images or space satellite images, and providing the growth status and disease information of agricultural products to farmers. Regarding the system.

[0002]

2. Description of the Related Art As a conventional technique related to the present invention, there is JP-A-11-178445. This is a paddy rice growth monitoring device, and the method disclosed here is to install a photographing device in the field, transmit this photographed image to the producer, and display it on the television or other display device such as the producer's residence. I am trying to display it. Paddy fields are affected by environmental conditions such as the weather and the position of the sun, and even with the same leaf color, different input images may occur. For this reason, the shutter speed is changed, or a control device of the photographing device for performing the correction is provided. In addition, the height of the rice and the leaf area are calculated from the input image to determine the growth status of the paddy rice. This is just a system in which a farmer's own farm equipment remotely monitors the growth of agricultural products in its own field.

[0003]

However, it is expensive to install an image pickup device in the field and send the image pickup information to each farmer through the transmission line as described above. It's not always a good way for people. In addition, since the image pickup device and the like may be damaged, it is necessary to take measures against it. Further, since the image is taken from around the field, there is also a problem that it is not possible to know the variation in the growth condition in the field other than the vicinity where the imaging device is installed. As described above, it is difficult for individual farmers to provide the photographing device, and it is difficult to obtain the effect corresponding to the burden.

The present invention addresses these problems, and performs image processing on the basis of aerial imaged images and satellite images to convert them into growth information or disease information in units of one stroke, and converts the information according to the farmer's request. To provide.

[0005]

The above-mentioned problems can be solved by the following means. In a growth information providing system for providing the farmer with growth information of agricultural products produced by a farmer, a field image database storing field images captured by aerial photography or space satellite, and a one-stroke unit owned by the farmer. It is characterized by comprising a field information database that stores field information and a data processing server that performs arithmetic processing of growth status data or disease status data using data other than the aforementioned database.

Further, the data processing server uses the data of the field information database and the data of the field image database to perform conversion processing for grasping the growth status by image processing, and grows from the weather information and the growth index. Is stored in the growth status database, and the disease image processing is performed by image processing using the data of the field information database and the data of the field image database, and the disease diagnosis processing is performed from the weather information and the growth index. The diagnosis result is stored in the disease information database, and the data processing server provides the data of the growth status database or the disease information database to the farmer upon request from the terminal device of the farmer.

[0007] In addition, the number of times the farmer provides information,
The system is characterized by being a system that charges according to the content of information.

[0008]

BEST MODE FOR CARRYING OUT THE INVENTION Embodiments of a growth information providing system according to the present invention will be described below with reference to the drawings.

FIG. 1 shows the overall configuration of a growth information providing system according to an embodiment of the present invention. The data processing server 20, which performs information processing and provides processing results, performs member registration based on database means 1 that stores information such as image information necessary for providing growth information, and information accumulated in the database means 1. And inquiries about growth information,
Server means 2 for generating and delivering growth status and disease information
(Comprising a microcomputer as a main component). An image providing unit 40 provides the user with an aerial photograph or a space satellite image as required. There are cases in which a photographed image is periodically held and provided, or when a photograph is taken upon request and the image is provided.

Further, as indicated by 45, the data processing server 20 stores the member information (stored in DB11) of the farmer, the weather information (stored in DB16), or the map information (stored in DB14). Input) separately,
I have it as a DB. Reference numeral 30 denotes, for example, the Internet, which allows the personal computer of the members 31 to 32 or the portable information terminal device to access the server means as necessary and receive the necessary information.
FIG. 1 shows the configuration of such an entire system.

Next, a more detailed block diagram of FIG. 1 is shown in FIG.
Shown in. DBs other than the images include, for example, a field information DB 13 for each cultivated land, a field image DB 12, a growth index DB 15,
It is composed of a growing condition 17, disease information 18, and then the farmer member information DB 11, the weather information DB 16, the map information DB 14, and the like. The image information is provided from the image information supply unit 40 on a regular basis or at the timing of the growing condition. Specifically, information will be obtained on a regular basis based on a contract, or irregularly according to the growing situation.

Then, the data obtained from these DBs are processed by the growth condition generation unit 21 or the disease information generation unit 22, and the obtained results are stored in the growth condition DB 17 and the disease information DB 18, respectively, and used. So that it can be provided to other people. This may be calculated and stored on a regular basis, or may be calculated and stored irregularly at the timing of growth.

The server means 2 has a normal Internet homepage function for member registration, inquiry and information distribution, a growth condition generation unit 21 for generating information on the growth condition of agricultural products in a field, and disease information for the agricultural products. The growth information and the like generated by the disease information generation unit 22 that generates the information is distributed to the terminal means 3 held by the member.

The terminal means 3 comprises a portable information terminal such as a personal computer or a mobile phone which accesses the server means 2 and receives growth information distributed via the Internet or the like.

Next, each data of the database means 1 will be briefly described with reference to FIGS. 3 to 10. FIG. 3 is a diagram showing an example of the farmer member information DB 11. As the registration data, a field ID indicating a field number, a field name, a farmer's name, a variety, a soil type, a transplant date, and the like are registered in advance. It is more convenient to provide information when the field ID is represented by a single stroke of the cultivated land.

FIG. 4 is a diagram showing an example of the field image information DB 12. Figure 4 shows the RG imaged from an aircraft or satellite in advance.
B color image (FIG. 4A) and infrared color image (FIG. 4)
(B)) is shown. FIG. 5 is a diagram showing an example of the field information 13. The field information of FIG. 5A includes field information ID, vegetation cover rate, biomass, chlorophyll concentration,
Leaf colors and the like are registered, and descriptions such as img_vcr001 represent file names. FIG. 5B is an example of image information indicating the vegetation coverage when the field information ID is 001. Further, FIG. 5C shows the field information I.
It is an example of the image information showing the biomass when D is 001. Further, FIG. 5D is an example of image information representing the chlorophyll concentration when the field information ID is 001.

FIG. 6 is a diagram showing an example of the map information DB 14, in which a map of a field area is stored. FIG. 7 is a diagram showing an example of the growth index DB 15. As a growth index, L
AI (leaf area index), DW (dry matter weight), Ncontent
t (nitrogen concentration) and the like are registered. Figure 8 shows the weather information DB
It is a figure which shows the example of 16. As the meteorological information, a meteorological mesh ID, a date, an annual average temperature, a day length, an accumulated solar radiation amount, a wind speed, etc. are registered in advance. Figure 9 shows the growth status DB17
It is a figure which shows the example of. As for the growth status, the growth status I
D, field name, farmer name, DVI (development index), LAI
(Leaf area index), DW (dry weight), Ncontent
(Nitrogen concentration) is registered. Figure 10: Disease information DB
It is a figure which shows the example of 18. The disease information includes disease information ID, field name, farmer name, DVI (development index), Nc.
ontent (nitrogen concentration), BLASTAM onset diagnosis,
Comprehensive disease diagnosis is registered. The farmer can display not only these data but also the image of the farm field itself on the display device of the terminal if necessary.

Next, the flow of processing of the growth condition generation section 21 will be described with reference to FIG. In FIG. 11, a solid arrow indicates a processing flow, and a dotted arrow indicates a data flow. GIS (Geographical Information)
ation system) processing 1000, an RG imaged in synchronization with the same image capturing location from the field image DB 12 in which images captured in advance from an aircraft or satellite are stored.
B color image and infrared color image are selected as a set. After that, spatial alignment is performed between the RGB color image and the infrared color image using the map information DB 14 and commercially available GIS software or the like, and position information is given to arbitrary pixels of the RGB color image and the infrared color image. And farmer member information DB
The field of one stroke obtained from 11 is stored in the field image DB 12 so that it can be expressed as polygon data.

In the image processing 1010 for growing condition, RGB images obtained by synchronizing the same photographing location from the field image DB 12 are photographed.
R, G, B, IR by selecting color image and infrared color image as a set and separating these images into RGB
A spectral image corresponding to the four bands of (infrared) is obtained.
The pixels of each spectrum image are, for example, 0 to 255.
Is represented by a digital number value (hereinafter, DN value) of. With respect to one pixel spatially corresponding to each other, the DN value of each of the four bands is input, and the field information such as the vegetation cover rate, biomass, chlorophyll concentration, and leaf color is output. This process is performed for all pixels forming the image, and the result is stored in the field information DB 13.

In the growth status conversion process 1020, the plant cover ratio, biomass, chlorophyll concentration, leaf color, etc., for each pixel stored in the field information DB 13 are input, and the growth index such as LAI, DW, Ncontent, etc. for each pixel is input. Output and perform this process for all pixels that make up the image,
The result is stored in the growth index DB 15.

In the growth prediction processing 1030, the field image DB is used.
For each field polygon of the prediction target stored in 12, or each pixel of the entire image, each growth index value is grown by the growth index DB 15, each weather information is registered by the weather information DB 16, and the farmer information is created by the farmer member information DB 11. It inputs into a prediction model, outputs a prediction result, converts this prediction result into a DN value, and stores it in growth situation DB17. Then, if the farmer requests the information provision, the information can be provided from the DB 17.

Next, the processing flow of the disease information generator 22 will be described with reference to FIG. Also in FIG. 12, solid arrows indicate the flow of processing, and dotted arrows indicate the flow of data. In the GIS processing 2000, a field image DB in which images captured in advance from an aircraft or satellite are stored.
From 12, the RGB color image and the infrared color image captured in synchronization at the same location are selected as a set. Then, using the map information DB 14 and commercially available GIS software, RGB
Spatial registration is performed between the color image and the infrared color image. After that, position information is given to arbitrary pixels of the RGB color image and the infrared color image so that the farm field obtained from the farmer member information DB 11 can be expressed as polygon data and stored in the field image DB 12. GIS processing 2
000 is the GIS processing 1000 of the growth status generation means 21.
If the processing for the same image has already been performed in
The S processing 2000 may be omitted.

In the disease image processing 2010, the field image D
Corresponding to 4 bands of R, G, B, IR (infrared) by selecting RGB color image and infrared color image taken in synchronization from B12 in the same shooting location as a set and separating these images into RGB To obtain the spectral image. The pixels of each spectrum image are represented by digital number values (hereinafter, DN values) of 0 to 255, for example. With respect to one pixel spatially corresponding to each other, the DN value of each of the four bands is input, and the field information such as the leaf color is output. This process is performed for all pixels forming the image, and the result is stored in the field information DB 13.

In the disease conversion processing 2020, the field information D
The disease color conversion processing is performed by inputting the leaf color of each pixel stored in B13, and the growth index such as Ncontent of each pixel is output. This process is performed for all pixels forming the image, and the result is stored in the growth index DB 15.

In the disease condition diagnosis 2030, the weather information DB
Each weather information is input to the disease diagnosis model from 16, and the appearance rate of, for example, a suitable blast infection condition in the target area is output. The prediction result is converted into a DN value and stored in the disease information DB 18.

In the comprehensive disease diagnosis 2040, the field image D
For each pixel of the field polygon to be predicted stored in B12 or each pixel of the entire image, the appearance rate of infection preferable conditions output from the disease condition diagnosis 2030 and stored in the disease information DB 18 and each weather information from the weather information DB 16 are grown. Farmer member information DB11 for each growth index value from the index DB15
More farmer information is diagnosed using a comprehensive disease diagnosis model, and the diagnosis result is converted into a DN value and stored in the disease information DB 18.

If a member farmer requests information provision, the information obtained by the image processing in FIGS. 11 and 12, that is, the growth status DB 17 or the disease information DB 1
Provide the data of 8 to the client. This information is far more economical than attaching a camera to each individual farm to obtain information on growth status or disease. Further, in the above-mentioned embodiment, although it is limited to providing the growth status or disease information, the method corresponding to this may be proposed for reference. For example, it is a method of showing the measures such as disinfection against the disease state and referring to the farmer. By using this system, the farmer can check the production status frequently, which improves productivity and enables stable production. Further, it can be effectively used for the determination of fertilization.

Further, the processing server 20 shown in FIG. 1 is often in charge of a JA or the like as a local government, but it can also be established as a business. That is, based on the image information, the weather information, and the map information, it is processed into growth information or disease information that can be directly used by the farmer and charged. For example, as shown in FIG. 13, D of the data processing server 20
This can be realized by providing the charge DB 19 in the B section 1 and the usage status or charge calculation section 23 in the server 2. This is a system that pays the image fee to the image providing side 40 that receives the image and collects the fee from the farmer who used the growth information or the disease information.

In this way, it is possible to construct a system that can be realized as a business. FIG. 14 shows an example of the charges for the image providing side 40 for June in that case. 6/10 indicates that only regular image information based on the contract is provided, and the fee is P1. In the case of 6/14, we will be provided with image information irregularly,
Furthermore, it indicates that the photograph was requested temporarily. In this case, the charge is (P2 + P3). The total charge for June is P0.
This is generally counted by the image information provider, but it should be recorded even by the person who receives the information. This P0 is a fee paid to the image information provider side (corresponding to an aerial photography company or an image information providing company). There are various fee systems depending on the contract with the image provider. The number of times of use and the accuracy of the image are also negotiated with the server side.

Further, the collection of charges to the user side is organized in the form shown in FIG. 15, for example. This is an example in which the fee is determined by how many times the grower information and disease information are used for each farmer and for each month. In any case, by constructing such a system, as a result, the burden on the farmer is reduced, and the information about his / her farm field is provided from the individual terminal devices that he / she owns, whenever necessary. You can Therefore,
There is no need to pay attention to the schedule for checking the growth status of agricultural products by patrol, and effective production can be performed. In addition, since some of these costs may be borne by JA etc., there may be various fee systems.

[0031]

According to the present invention, by processing image information, it is converted and stored in the information required by the farmer, and the terminal information of the farmer obtains the growth information of the agricultural product whenever necessary. You can judge the growth of agricultural products.
It is also effective for stable production of agricultural products and for determining the minimum required fertilizer application.

[Brief description of drawings]

FIG. 1 is an overall configuration diagram of a growth information providing system.

FIG. 2 is a configuration diagram of a growth information providing system according to an embodiment of the present invention.

FIG. 3 is an example of farmer member information data according to an embodiment of the present invention.

FIG. 4 is an example of field image data according to an embodiment of the present invention.

FIG. 5 is an example of field information data according to an embodiment of the present invention.

FIG. 6 is an example of map information data according to an embodiment of the present invention.

FIG. 7 is an example of growth index data according to an example of the present invention.

FIG. 8 is an example of weather information data according to an embodiment of the present invention.

FIG. 9 is an example of growth condition data according to an embodiment of the present invention.

FIG. 10 is an example of disease information data according to an embodiment of the present invention.

FIG. 11 is a diagram showing a process of the growth condition generation means of FIG.

FIG. 12 is a diagram showing a process of a disease information generation unit in FIG.

FIG. 13 is a diagram showing an example of a database and a calculation unit necessary for business.

FIG. 14 is a diagram illustrating an example of fee payment to an image information providing side.

FIG. 15 is a diagram showing an example of a usage fee for a farmer or the like.

[Explanation of symbols]

1 ... Database means, 2 ... Server means, 3 ... Terminal means, 11 ... Farmer member information DB, 12 ... Field image DB,
13 ... Field information DB, 14 ... Map information DB, 15 ... Growth index DB, 16DB ... Meteorological information, 17 ... Growth situation DB,
18 ... Disease information DB, 20 ... Data processing server, 21 ...
Growth status generating means, 22 ... Disease information generating means, 31 ... Personal computer, 32 ... Portable information terminal.

   ─────────────────────────────────────────────────── ─── Continued front page    (72) Inventor Hitoshi Goto             Hitachi 2-3-1, Saiwaicho, Hitachi-shi, Ibaraki             Engineering Co., Ltd. F term (reference) 5B057 AA14 AA15 BA11 CA01 CA08                       CA16 CB01 CB08 CB16 CH01                       CH12 CH14 DA20 DB06 DB09                       DC25 DC36                 5L096 AA02 AA06 BA02 CA02 FA15                       GA40 GA41 JA11 MA07

Claims (3)

[Claims] 1. In a growth information providing system for providing growth information of agricultural products produced by a farmer to the farmer, a farm image database for storing farm image captured by aerial photography or space satellite, and the farmer A field information database that stores field information in units of one stroke owned, and a data processing server that performs arithmetic processing of growth status data or disease status data using the data of both databases, in response to a request from the farmer. A growth information providing system for agricultural products in a field, which provides the growth status or disease status data accordingly. 2. The data processing server according to claim 1, wherein the data processing server uses the data of the field information database and the data of the field image database to perform conversion processing for grasping a growing condition by image processing, and weather information. And a growth index are used to perform growth prediction processing and stored in a growth status database, image processing for diseases is performed by image processing using the data of the field information database and the data of the field image database, and the weather information and growth Data for performing disease diagnosis processing from an index and storing the diagnosis result in a disease information database, and providing data of the growth status database or disease information database data to the farmer according to a request from the terminal device of the farmer. A growth information providing system for agricultural products in a field, which is a processing server. 3. The growth information providing system for agricultural products in a field according to claim 1, wherein the system is a system for charging according to the number of times information is provided by the farmer and the content of the information.